The Signal Room | AI in Healthcare: Strategy, Governance & Ethical Leadership

Healthcare AI Fails at the Data Layer: Privacy, Governance & Trust | Sid Dutta

1 h 2 min · 30 de abr de 2026
Portada del episodio Healthcare AI Fails at the Data Layer: Privacy, Governance & Trust | Sid Dutta

Descripción

Send us Fan Mail [https://www.buzzsprout.com/2550733/fan_mail/new] Sid Dutta is a 24-year cybersecurity veteran, former data-protection executive at American Express, Worldpay, Activision Blizzard, and OpenText and Founder & CEO of Privaclave AI. His work targets the layer most healthcare AI conversations ignore: the runtime data layer where pilots actually stall. In this episode, Chris Hutchins and Sid examine why healthcare data governance is the bottleneck in clinical AI, what privacy-preserving AI looks like in practice (tokenization, federated learning, secure enclaves, differential privacy), how organizations can collaborate on PHI without exposing it, why static perimeter controls fail in non-deterministic AI workflows, what healthcare leaders get wrong about vendor risk, and the shift from "block first" to enabling controlled data usage at runtime. For health-system executives, CIOs/CISOs, data and compliance leaders moving AI from pilot to production without compromising patient trust. What We Cover • Why healthcare AI initiatives stall before models are ever deployed • How runtime data protection differs from static perimeter controls in non-deterministic AI workflows • What privacy-preserving AI actually means in practice — tokenization, federated learning, secure enclaves, differential privacy • Why cross-institutional research breaks down when data leaves an EHR boundary • Where shadow AI emerges — and how to remove the friction that creates it • What separates trustworthy AI infrastructure from a checkbox compliance posture Key Takeaways The bottleneck is the data layer, not the model. Healthcare AI does not fail because the model is wrong. It fails because the data layer cannot be governed safely as data moves between systems, copilots, and agents. Static security models break in AI workflows. Encryption at rest and in transit clear an audit checkbox without protecting data once it leaves an EHR. Runtime, context-aware controls are the only governance that survives non-deterministic agents. Stop framing privacy and access as opposing forces. Privacy-preserving infrastructure is the unlock for cross-institutional research, real-time clinical decision support, and partnerships that have been blocked for compliance reasons. Trust comes from technical enforcement, not contracts. Data-sharing agreements describe intent. Auditability, traceability, and runtime policy enforcement deliver it. Block-mode is a sign of immaturity. Organizations that default to "deny" instead of enabling controlled data usage are signaling that their governance model is not ready for AI partnerships. Frameworks & Tools Mentioned • Tokenization, format-preserving encryption, deterministic encryption • Homomorphic encryption, federated learning, differential privacy • Trusted Execution Environments (confidential computing, secure enclaves) • Data Discovery & Classification / DSPM (Data Security Posture Management) • Runtime context-aware access controls and intent-based policy enforcement • Data clean rooms for cross-institutional analytics and research Chapters 00:00 - Cold open and guest introduction 02:14 - Why healthcare AI stalls before models deploy 07:04 - Data sharing, regulations, and runtime control 11:58 - What privacy-preserving AI actually means 16:54 - What becomes possible: cross-institutional research at scale 22:04 - Misconceptions and the rise of shadow AI 27:48 - Why cross-institution collaboration is hard 31:00 - Privacy-preserving infrastructure as the partnership unlock 35:31 - Infrastructure vs models: the underestimated data layer 40:19 - Building trustworthy AI: governance and shared accountability 43:09 - Signals an organization isn’t ready 48:55 - From institutional to network-centric data ecosystems 55:21 - What leaders should pay attention to right now About Sid Dutta Sid Dutta is the Founder & CEO of Privaclave AI and a 24-year cybersecurity veteran with more than a decade leading data protection and privacy engineering at scale. Before Privaclave, he was Vice President of Data Protection & Privacy Engineering at Activision Blizzard (Microsoft Gaming), Product Head of Voltage SecureData at OpenText (formerly Micro Focus), Vice President & Global Head of Data Protection & Applied Cryptography at Worldpay, and Director of Cryptographic Utilities & Services at American Express. He holds nine issued patents in cryptography, blockchain, and tokenization, with one additional patent pending, and has served on multiple vendor and cybersecurity advisory boards. About The Signal Room: The Signal Room is a podcast exploring leadership, ethics, and innovation in healthcare and artificial intelligence. Hosted by Christopher Hutchins, Founder & CEO of Hutchins Data Strategy Consultants. Support the show [https://www.buzzsprout.com/2550733/support] About The Signal Room: The Signal Room is a podcast and communications platform exploring leadership, ethics, and innovation in healthcare and artificial intelligence. Hosted by Christopher Hutchins, Founder and CEO of Hutchins Data Strategy Consultants. Leadership, ethics, and innovation, amplified. Website: https://www.hutchinsdatastrategy.com  LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/  YouTube: https://www.youtube.com/@ChrisHutchinsAi Book Chris to speak:  https://www.chrisjhutchins.com

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35 episodios

episode Why AI Agents Are Healthcare's Next Biggest Security Risk | Pranava Adduri artwork

Why AI Agents Are Healthcare's Next Biggest Security Risk | Pranava Adduri

Send us Fan Mail [https://www.buzzsprout.com/2550733/fan_mail/new] WHY AI AGENTS ARE HEALTHCARE'S NEXT BIGGEST SECURITY RISK (WITH PRANAVA ADDURI) Generative AI is changing how the medical world works—but it is also completely rewriting the cyber threat landscape. When a security breach happens to a traditional business, it impacts revenue. When a data breach happens to a hospital system, people's lives are actively at stake. In this episode of The Signal Room, host Chris Hutchins sits down with Pranava Adduri, Co-Founder and CTO of Bedrock Data, to uncover a major operational blindspot: the dangerous gap between deploying autonomous AI agents and maintaining strict data governance. Pranava explains why the defensive advantage of AI tools is only temporary, how "helpful" AI agents inadvertently create massive security leaks, and why healthcare leaders must stop trying to build unreachable networks and instead adopt a radical new mindset: learn to get better at being breached. Key Takeaways From This Episode: * The AI Agent Judgment Gap: Why AI agents trying to get a job done will bypass security parameters (like creating hidden, shared data folders) because they lack human ethical judgment. * The "Scary Forest" of Permissions: How privileged access and credentials drift over time, and why letting an unchecked AI agent act with full user permissions creates a catastrophic blast radius. * Data-First Threat Modeling: How identifying your top five most critical data assets and working backward is the fastest way to harden a clinical environment. * Open Source vs. Frontier Labs: Why advanced adversarial AI capabilities are catching up quickly, making AI-assisted cyber attacks more frequent and sophisticated. Chapter Markers & Timestamps: * 0:00 — Introduction: Why healthcare data security is a matter of life and death. * 1:45 — Meet Pranava Adduri and the mission behind Bedrock Data. * 3:11 — How medical ransomware differs from standard enterprise cyber attacks. * 4:32 — The hidden threat landscape: What leaders miss when deploying GenAI. * 6:55 — Do defenders actually hold the long-term AI capability advantage? * 9:35 — Flipping the playbook: Why organizations must "get better at being breached." * 12:22 — Beyond honeypots: Restructuring network access and minimizing data footprints. * 14:38 — Why clinical settings give broad access to AI agents (and why it backfires). * 19:37 — Exposing the false sense of security around hosted cloud environments. * 23:55 — Reining in the "scary forest" of privileged access drift. * 27:30 — The #1 critical cybersecurity takeaway for healthcare CEOs and tech leaders. * 29:13 — Where to follow Bedrock Data and wrap-up. About Our Guest: Pranava Adduri is an expert in data infrastructure and security compliance. He was a founding engineer at Rubrik, where he focused heavily on ransomware defense and backup recovery. He later scaled data risk and compliance lines at AWS past $200 million in revenue, working directly with Fortune 500 CISOs. Today, he is an Entrepreneur in Residence at Greylock and the Co-Founder and CTO of Bedrock Data, an advanced data security and governance platform built explicitly for the AI era. Resources & Links Mentioned: * Visit the Bedrock Data Website: bedrockdata.ai [https://bedrockdata.ai] * Connect with Pranava Adduri: https://www.linkedin.com/in/padduri/ [https://www.linkedin.com] * Explore More Episodes: https://www.youtube.com/@SignalRoomPodcast [https://www.signalroompodcast.com] Support the show [https://www.buzzsprout.com/2550733/support] About The Signal Room: The Signal Room is a podcast and communications platform exploring leadership, ethics, and innovation in healthcare and artificial intelligence. Hosted by Christopher Hutchins, Founder and CEO of Hutchins Data Strategy Consultants. Leadership, ethics, and innovation, amplified. Website: https://www.hutchinsdatastrategy.com  LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/  YouTube: https://www.youtube.com/@ChrisHutchinsAi Book Chris to speak:  https://www.chrisjhutchins.com

8 de jul de 202630 min
episode AI Security Risk: The Massive Mistake Companies Make | Cyber Security Expert Aaron Puckett artwork

AI Security Risk: The Massive Mistake Companies Make | Cyber Security Expert Aaron Puckett

Send us Fan Mail [https://www.buzzsprout.com/2550733/fan_mail/new] Is your organization’s data secretly floating around on the public web? In this episode of The Signal Room, host Chris Hutchins dives deep into the operational layer of AI risk with cybersecurity expert Aaron Puckett, Executive Vice President at Managed Services Group. Many corporate boards think they are protected because they signed off on an official AI policy. But as Aaron explains, a paper policy means absolutely nothing without infrastructure-level technical controls. We break down the exact mechanics of "Shadow AI", revealing how well-meaning employees are accidentally leaking sensitive company data and Protected Health Information (PHI) directly into public models like ChatGPT. If you are a business leader, CISO, or operational executive, this episode is a critical manual on how to lock down your data before a massive security breach occurs. Inside This Episode, You’ll Learn: * The Anatomy of a ChatGPT Leak: What literally happens to your proprietary information the millisecond an employee pastes it into a public chatbot. * The Illusion of Compliance: Why writing an AI policy is the easy part, but proving your security posture to SOC 2, HIPAA, or cyber insurance auditors is where companies fail. * AI vs. AI Warfare: How threat actors use artificial intelligence to compress cyber attack timelines from hours down to milliseconds. * The First Line of Defense: Why data hygiene, conditional access, and Multi-Factor Authentication (MFA) must be prioritized before deploying any enterprise AI tools. Key Moments & Chapters: * 00:00 - The multi-million dollar mistake boards make with AI risk. * 09:07 - Policy vs. Reality: Why your corporate AI framework might be empty. * 17:03 - Technical guardrails: Setting up real Data Loss Prevention (DLP). * 24:55 - The Shadow AI nightmare: How employees bypass your security. * 32:38 - MFA and Identity Posture: Your first line of cyber defense. * 44:44 - The first question every operator must ask their IT team this week. Connect with the Guest: * Guest: Aaron Puckett, Executive Vice President * Company: Managed Services Group (MSG) * Website: msgrouponline.com [https://msgrouponline.com] * LinkedIn: https://www.linkedin.com/in/aaronwpuckett Enjoyed this episode? Make sure to hit follow, leave a 5-star review, and share this episode with an executive or IT professional who needs to secure their data infrastructure today! Support the show [https://www.buzzsprout.com/2550733/support] About The Signal Room: The Signal Room is a podcast and communications platform exploring leadership, ethics, and innovation in healthcare and artificial intelligence. Hosted by Christopher Hutchins, Founder and CEO of Hutchins Data Strategy Consultants. Leadership, ethics, and innovation, amplified. Website: https://www.hutchinsdatastrategy.com  LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/  YouTube: https://www.youtube.com/@ChrisHutchinsAi Book Chris to speak:  https://www.chrisjhutchins.com

1 de jul de 202649 min
episode Why "Academic" AI Models Fail the 3 AM Real-World Stress Test artwork

Why "Academic" AI Models Fail the 3 AM Real-World Stress Test

Send us Fan Mail [https://www.buzzsprout.com/2550733/fan_mail/new] Why "Academic" AI Models Fail the 3 AM Real-World Stress Test What happens when pristine corporate AI benchmarks collide with the messy realities of the frontline at 3:00 AM? In this episode of The Signal Room, emergency physician and AI red-teamer Dr. Omer Atli joins host Chris to expose why enterprise-grade AI models frequently collapse in resource-constrained environments. If your organization is relying on theoretical AI safety protocols, or ignoring the unapproved "Shadow Formulary" already operating inside your building, this conversation is an essential guide to corporate governance, liability mitigation, and reality-aware product architecture. EPISODE TIMESTAMPS * 00:00 – The 3 AM benchmark vs. the 3 PM academic lab * 02:15 – Why theoretical AI fails operational edge cases * 06:30 – The "Shadow Formulary": Unmanaged AI in your organization tonight * 09:45 – Hallucinations vs. Lethal Omissions: The true liability shift * 15:20 – Designing "Resource-Aware" software for critical environments * 21:10 – Modern CISO Governance: Transitioning from bans to live controls * 27:45 – The Clinical Safety Officer: Who owns your digital risk? STRATEGIC TAKEAWAYS FOR LEADER-BOARDROOMS * Prohibition Fails Corporate Governance: Frontline staff, operators, and clinicians are already using consumer-grade AI models (ChatGPT, Claude, Gemini) out of their pockets to solve immediate problems. Banning these tools simply drives "Shadow IT" deeper underground, creating unmapped compliance failures and massive legal liabilities. * The Rise of Lethal Omissions: The ultimate liability risk isn't a blatant AI hallucination—it’s a lethal omission. Advanced models successfully identify complex problems but drop the critical, context-dependent next steps. For executives, this creates an invisible malpractice risk that standard evaluation frameworks miss entirely. * Software Must Be "Resource-Aware": AI cannot safely optimize an action if it is blind to the physical operating environment infrastructure infrastructure. True enterprise AI must be built to survive the absolute hardest edge cases first—because if a system works where resources are thinnest, it will work seamlessly anywhere. CONNECT WITH THE SHOW & GUEST * Dr. Omer Atli on LinkedIn: https://www.linkedin.com/in/dromeratli/ * Dr. Omer Atli's Website: omeratli.com * The Signal Room Website: signalroompodcast.com * Follow us on LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/ If today's conversation sparked an idea, challenge, or perspective worth amplifying, please leave a review and subscribe to stay ahead of enterprise AI risk. Support the show [https://www.buzzsprout.com/2550733/support] About The Signal Room: The Signal Room is a podcast and communications platform exploring leadership, ethics, and innovation in healthcare and artificial intelligence. Hosted by Christopher Hutchins, Founder and CEO of Hutchins Data Strategy Consultants. Leadership, ethics, and innovation, amplified. Website: https://www.hutchinsdatastrategy.com  LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/  YouTube: https://www.youtube.com/@ChrisHutchinsAi Book Chris to speak:  https://www.chrisjhutchins.com

23 de jun de 202637 min
episode Ex-Intelligence Officer: 80% Of Legal Work Could Be Done By AI | Bennett B. Borden artwork

Ex-Intelligence Officer: 80% Of Legal Work Could Be Done By AI | Bennett B. Borden

Send us Fan Mail [https://www.buzzsprout.com/2550733/fan_mail/new] Before he was advising boards on AI strategy, Bennett Bordon spent eight years as a U.S. intelligence analyst, then went to law school, then earned a graduate degree in data analytics. That cross-disciplinary background eventually led him to analyze a decade of billing data from 14,000 attorneys, and conclude that roughly 80% of what lawyers do today is better done by AI. Bordon is now the founder and CEO of Clarion AI Partners, a boutique firm that advises companies on AI governance, risk, and strategy while also building the AI systems themselves. In this conversation with host Chris, he breaks down: * Why he left a top-10 law firm to build Clarion instead of trying to "turn the Titanic" on the billable hour *  The "Iron Man, not Terminator" framework for thinking about AI and human work * How the legal concept of reasonableness — what did you identify, what did you do about it, can you prove it — keeps companies defensible in an unsettled regulatory landscape * Why 80% of AI adoption is a psychological and change-management problem, not a technology problem * How AI governance committees go wrong when they're owned entirely by tech, compliance, or the business alone * The work Clarion does on child safety, access to justice, and public policy as AI scales globally A wide-ranging look at what it actually takes to deploy AI responsibly, from the boardroom down to the workflow level. Find Bennett Bordon at clarionaipartners.com or on LinkedIn. LinkedIn: https://www.linkedin.com/in/bennett-borden/ Website: https://clarionai.com/ Find Us on: Youtube: https://www.youtube.com/@SignalRoomPodcast LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/ Support the show [https://www.buzzsprout.com/2550733/support] About The Signal Room: The Signal Room is a podcast and communications platform exploring leadership, ethics, and innovation in healthcare and artificial intelligence. Hosted by Christopher Hutchins, Founder and CEO of Hutchins Data Strategy Consultants. Leadership, ethics, and innovation, amplified. Website: https://www.hutchinsdatastrategy.com  LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/  YouTube: https://www.youtube.com/@ChrisHutchinsAi Book Chris to speak:  https://www.chrisjhutchins.com

17 de jun de 202649 min
episode Why 50% of New Nurses Quit Within 2 Years (And How AI Can Fix It) | Angela Millan artwork

Why 50% of New Nurses Quit Within 2 Years (And How AI Can Fix It) | Angela Millan

Send us Fan Mail [https://www.buzzsprout.com/2550733/fan_mail/new] What does it mean to be ready — really ready — to take care of a patient at 3am? Passing boards says you're safe enough to start. But clinical judgment? That's built through repetition, feedback, and experience that nursing education often can't provide. And the consequences of that gap are real: 50% of new grad nurses leave the bedside within 2 years, before they ever become the senior mentors the next class needs. Angela Millan has lived this from every angle. As a new grad thrown onto the floor after 18 days of orientation. As a nurse practitioner navigating an even steeper learning curve. As a clinical instructor watching her students freeze at the bedside — not because they didn't know what they were seeing, but because they didn't know what to do next. And now, as the co-founder of Prismn Health Technologies, where she's building Nurse Hazel: a conversational AI clinical reasoning tutor designed to close the gap before a nurse is ever alone in those high-stakes moments. In this episode, Chris and Angela get into: - Why the NCLEX measures minimum competency — not readiness - The difference between clinical knowledge and clinical judgment, and why it matters - A story about a nursing student who followed every protocol and still nearly lost a patient - The emotional cost of entering a profession where you're measured for compliance, not care - How Nurse Hazel works — and the strict line Angela drew on what AI should never do at the bedside - What a strong nursing workforce looks like in 10 years, and what it will take to get there Angela's perspective is rare: she's building from inside the problem, not around it. This is a conversation about what healthcare education has normalized, and what it looks like to refuse to accept that as inevitable. — Guest: Angela Millan — Nurse Practitioner, Nurse Educator, Co-Founder of Prismn Health Technologies Connect with Angela: linkedin.com/in/angela-milan Learn more about Prismn: https://joinprismn.com/ About Angela Millan: Angela Millan is a nurse practitioner, nurse educator, and co-founder of Prismn Health Technologies. She has lived the readiness gap from every angle — as a new grad put on the floor after roughly 18 days of orientation, as a nurse practitioner navigating an even steeper learning curve, and as a clinical instructor watching capable students freeze at the bedside because they did not yet know what to do next. At Prismn she is building Nurse Hazel, a conversational AI clinical-reasoning tutor designed to help nurses rehearse judgment before they are alone in high-stakes moments — with a deliberately strict boundary on what AI should never do in patient care. — The Signal Room is hosted by Chris Hutchins. New episodes every wednesday. Subscribe wherever you listen to podcasts. Support the show [https://www.buzzsprout.com/2550733/support] About The Signal Room: The Signal Room is a podcast and communications platform exploring leadership, ethics, and innovation in healthcare and artificial intelligence. Hosted by Christopher Hutchins, Founder and CEO of Hutchins Data Strategy Consultants. Leadership, ethics, and innovation, amplified. Website: https://www.hutchinsdatastrategy.com  LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/  YouTube: https://www.youtube.com/@ChrisHutchinsAi Book Chris to speak:  https://www.chrisjhutchins.com

2 de jun de 202650 min